Titlebook: Hybrid Intelligent Systems; Larry R. Medsker Book 1995 Kluwer Academic Publishers 1995 adaptive control.algorithms.case-based reasoning.co

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书目名称Hybrid Intelligent Systems影响因子(影响力)




书目名称Hybrid Intelligent Systems影响因子(影响力)学科排名




书目名称Hybrid Intelligent Systems网络公开度




书目名称Hybrid Intelligent Systems网络公开度学科排名




书目名称Hybrid Intelligent Systems被引频次




书目名称Hybrid Intelligent Systems被引频次学科排名




书目名称Hybrid Intelligent Systems年度引用




书目名称Hybrid Intelligent Systems年度引用学科排名




书目名称Hybrid Intelligent Systems读者反馈




书目名称Hybrid Intelligent Systems读者反馈学科排名

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Expert Networks: Theory and Applications, major thrust of this type of hybrid system is to synthesize the capability of expert systems to capture expert domain knowledge in an inference-based system with the power of black-box neural networks trained from example data.

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Fuzzy Systems and Neural Networks,ns are starting to be developed. A natural integration follows the same successful path of hybrid neural network and expert systems by using fuzzy rule based systems instead of traditional expert systems. Thus all the various ways of integration are available for fuzzy connectionist systems. Additio

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Genetic Algorithms and Neural Networks,ndividually. In the early 1990’s, the revolution in the research and application of neural networks was followed by a surge in activity for genetic algorithms. By 1994, several conferences and publications had been dedicated to genetic algorithms where they had formerly been an adjunct of neural net

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Genetic Algorithms and Fuzzy Systems,neural networks. The pioneering work in this area starts around 1989 and much of the initiative is due to Charles Karr. The most promising application area for the short term is the use of genetic algorithms to improve fuzzy logic controllers. This is an emerging field in which important work has pr

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Genetic Algorithms and Expert Systems,oblems are impossible or at least difficult to address with these technologies. For example, applications involving scheduling and resource planning continue to be challenging subjects of research and development. Generic methods are sought that can be applied easily to practical problems. Genetic a